Object Detection with Amazon Sagemaker from Coursera

Please note: You will need an AWS account to complete this course. Your AWS account will be charged as per your usage. Please make sure that you are able to access Sagemaker within your AWS account. If your AWS account is new, you may need to ask AWS support for access to certain resources. You should be familiar with python programming, and AWS before starting this hands on project. We use a Sagemaker P type instance in this project, and if you don't have access to this instance type, please contact AWS support and request access.

Since this is a practical, project-based course, we will not dive in the theory behind deep learning based SSD or Object Detection, but will focus purely on training and deploying a model with Sagemaker. You will also need to have some experience with Amazon Web Services (AWS).

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

What's inside

Syllabus

Object Detection with Amazon Sagemaker

In this 2-hour long project-based course, you will learn how to train and deploy an object detector using Amazon Sagemaker. Sagemaker provides a number of machine learning algorithms ready to be used for solving a number of tasks. We will use the SSD Object Detection algorithm from Sagemaker to create, train and deploy a model that will be able to localize faces of dogs and cats from the popular IIIT-Oxford Pets Dataset. Since this is a practical, project-based course, we will not dive in the theory behind deep learning based Object Detection, but will focus purely on training and deploying a model with Sagemaker. You will also need to have some experience with Amazon Web Services (AWS).

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for learners with intermediate knowledge of AWS and Python programming

Provides practical, hands-on training in object detection using Amazon Sagemaker

Focuses on training and deploying a model, excluding the theory behind object detection

Reviews summary

Object detection with amazon sagemaker

Learners say this excellent course provides thorough and well-explained instructions on creating an object detection model with AWS Sagemaker. The guided project walks learners through pre-processing data to perform object detection and model training. Reviewers commend the quality of materials and the instructor's step-by-step guidance. However, some learners experienced difficulties when using the Rhyme software.

Instructor provides clear and thorough explanations.

"Kudos to the instructor for taking his time and explaining each and every step while coding."

Excellent quality of materials and code.

"The quality of materials and code is good."

"Overall the presentation is very excellent."

Step-by-step instructions for building an object detection model.

"The guided project 'Object Detection with Amazon Sagemaker' explains how to create an object detection model with SageMaker."

"The course gives necessary tips to pre-process the Pascal VOC XML to a format suitable to SageMaker and perform Object detection and deeply the model."

Some learners experienced difficulties when using Rhyme software.

"I had a hard time using Rhyme."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Object Detection with Amazon Sagemaker with these activities:

Gather Course Materials

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Get familiar with the available course materials to succeed from the start.

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Access the online course platform.
Review the syllabus and course schedule.
Download and organize course materials.

Practice Python Programming

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Sharpen your Python skills to enhance your understanding of the course concepts.

Browse courses on Python

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Review Python syntax and basic concepts.
Solve practice problems on coding platforms.
Build small Python projects to apply your knowledge.

Learn Amazon Web Services (AWS)

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Gain familiarity with AWS to prepare for using SageMaker in the course project.

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Create an AWS account.
Complete introductory AWS tutorials.
Experiment with basic AWS services like S3 and EC2.

Five other activities

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Develop Object Detection Model

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Apply the course concepts by building an object detection model with SageMaker.

Browse courses on Object Detection

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Set up a SageMaker notebook instance.
Import the necessary libraries and prepare the dataset.
Train the object detection model using SSD algorithm.
Evaluate the model's performance.

Deploy Object Detector

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Showcase your understanding by deploying the trained object detector for practical use.

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Create a SageMaker endpoint.
Deploy the trained model to the endpoint.
Test the deployed object detector.

Object Detection Resource Collection

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Build your reference library by compiling useful resources related to object detection.

Browse courses on Object Detection

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Gather tutorials, articles, and documentation on object detection.
Organize the resources into a central repository.
Share the resource collection with peers or online communities.

Contribute to Open Source Object Detection Projects

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Enhance your practical skills and contribute to the community by volunteering on open source object detection projects.

Browse courses on Object Detection

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Identify suitable open source projects related to object detection.
Join the project community and contribute to code, documentation, or issue tracking.
Share your experiences and learnings with others.

Contribute to Amazon SageMaker for Object Detection

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Expand your knowledge and contribute to the development of SageMaker by participating in its open source community.

Browse courses on Object Detection

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Review the SageMaker documentation and code repositories.
Identify areas where you can contribute to the project.
Submit bug reports, feature requests, or code contributions.

Career center

Learners who complete Object Detection with Amazon Sagemaker will develop knowledge and skills that may be useful to these careers:

Computer Vision Engineer

Computer Vision Engineers create and implement computer vision systems to automate visual tasks. These systems are used in various industries, including manufacturing, healthcare, and retail. As a Computer Vision Engineer, you would work on a team to research, develop, and deploy computer vision models. This course would be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own computer vision models.

See salaries and explore the career path for Computer Vision Engineer

Data Scientist

Data Scientists use data to solve business problems. They use a variety of techniques, including machine learning, to analyze data and make predictions. As a Data Scientist, you would use your skills to develop and deploy models to help businesses make better decisions. This course would be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own machine learning models.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. They work on a team to research, develop, and implement machine learning solutions to business problems. This course would be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make better decisions. They use a variety of techniques, including machine learning, to analyze data and make predictions. This course would be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own machine learning models.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts gather and analyze data to help businesses understand their customers and make better decisions. They use a variety of techniques, including machine learning, to analyze data and make predictions. This course would be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own machine learning models.

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Software Engineer

Software Engineers design, develop, and maintain software systems. They work on a team to research, develop, and implement software solutions to business problems. This course would be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own machine learning models.

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Product Manager

Product Managers are responsible for the development and launch of new products. They work with a team to research, develop, and implement new products that meet the needs of customers. This course would be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own machine learning models.

See salaries and explore the career path for Product Manager

Marketing Manager

Marketing Managers are responsible for developing and executing marketing campaigns. They work with a team to research, develop, and implement marketing campaigns that reach and engage target audiences. This course would be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own machine learning models.

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Sales Manager

Sales Managers are responsible for leading and managing sales teams. They work with a team to develop and implement sales strategies that reach and exceed sales goals. This course would be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own machine learning models.

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Customer Success Manager

Customer Success Managers are responsible for ensuring that customers are satisfied with their products and services. They work with a team to develop and implement customer success strategies that help customers achieve their goals. This course would be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own machine learning models.

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Financial Analyst

Financial Analysts are responsible for analyzing financial data to help businesses make better decisions. They use a variety of techniques, including machine learning, to analyze data and make predictions. This course may be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own machine learning models.

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Project Manager

Project Managers are responsible for planning and executing projects. They work with a team to develop and implement project plans that meet project goals and objectives. This course may be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own machine learning models.

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Operations Manager

Operations Managers are responsible for planning and executing operations. They work with a team to develop and implement operations plans that meet operational goals and objectives. This course may be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own machine learning models.

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Actuary

Actuaries are responsible for assessing and managing risk. They use a variety of techniques, including machine learning, to analyze data and make predictions. This course may be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own machine learning models.

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Risk Analyst

Risk Analysts are responsible for assessing and managing risk. They use a variety of techniques, including machine learning, to analyze data and make predictions. This course may be helpful for you because it would provide you with the skills and knowledge you need to train and deploy your own machine learning models.

See salaries and explore the career path for Risk Analyst